NNInput NNInputs_150.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 45785 file= 0 options= lep1_E<400&&lep2_E<400&& SBRatio= 0 wt= 1 SorB = 2 NNAna::CopyTree: SigChoice: lep1_E<400&&lep2_E<400&&Target==1 BkgChoice: lep1_E<400&&lep2_E<400&&Target==0 Creating Signal tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==1 Creating Background tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==0 NNAna::CopyTree: nsig = 9582 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9582 Chosen entries: 9582 Signal fraction: 1 Background fraction: 0.264674 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9582 Entries to split: 9582 Test with : 4791 Train with : 4791 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 14 Your number of nodes in the hidden layer is: 15 Your number of nodes in the output layer is: 1 You want to do classification You want to use the global preprocessing flag 812 You want to use standard regularisation You use entropy as a loss function You want to use the BFGS algorithm You do not want to fix the shape You use 50 % of patterns for training Weight update after 200 events You want to speed up learning by a factor of 1. You want to limit the learning rate to 0.5 You want to run 250 iterations NeuroBayesTeacher::NB_DEF_DEBUG : setting debug level to 0 You are not allowed to change the debug flag. This is only permitted with a developers licence. NBTreeReportInterval = 10000 NBTreePrepEvPrint = 1 Start Set Inidividual Variable Preprocessing Not touching individual preprocessing for Ht ( 0 ) in Neurobayes Not touching individual preprocessing for LepAPt ( 1 ) in Neurobayes Not touching individual preprocessing for LepBPt ( 2 ) in Neurobayes Not touching individual preprocessing for MetSigLeptonsJets ( 3 ) in Neurobayes Not touching individual preprocessing for MetSpec ( 4 ) in Neurobayes Not touching individual preprocessing for SumEtLeptonsJets ( 5 ) in Neurobayes Not touching individual preprocessing for VSumJetLeptonsPt ( 6 ) in Neurobayes Not touching individual preprocessing for addEt ( 7 ) in Neurobayes Not touching individual preprocessing for dPhiLepSumMet ( 8 ) in Neurobayes Not touching individual preprocessing for dPhiLeptons ( 9 ) in Neurobayes Not touching individual preprocessing for dRLeptons ( 10 ) in Neurobayes Not touching individual preprocessing for lep1_E ( 11 ) in Neurobayes Not touching individual preprocessing for lep2_E ( 12 ) in Neurobayes End Set Inidividual Variable Preprocessing Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 9582 for Signal Prepared event 0 for Signal with 9582 events ====Entry 0 Variable Ht : 117.82 Variable LepAPt : 47.4738 Variable LepBPt : 12.5622 Variable MetSigLeptonsJets : 3.17918 Variable MetSpec : 29.8229 Variable SumEtLeptonsJets : 87.9972 Variable VSumJetLeptonsPt : 86.2262 Variable addEt : 89.8589 Variable dPhiLepSumMet : 2.58393 Variable dPhiLeptons : 0.475938 Variable dRLeptons : 0.613309 Variable lep1_E : 64.1505 Variable lep2_E : 22.7882 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2150 Ht = 117.82 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 47.4738 LepAPt = 47.4738 LepBEt = 12.5622 LepBPt = 12.5622 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 29.8229 MetDelPhi = 2.20584 MetSig = 2.18904 MetSigLeptonsJets = 3.17918 MetSpec = 29.8229 Mjj = 0 MostCentralJetEta = 0.309078 MtllMet = 98.8413 Njets = 1 SB = 0 SumEt = 185.606 SumEtJets = 0 SumEtLeptonsJets = 87.9972 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 86.2262 addEt = 89.8589 dPhiLepSumMet = 2.58393 dPhiLeptons = 0.475938 dRLeptons = 0.613309 diltype = 1 dimass = 14.9303 event = 29 jet1_Et = 27.9612 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 64.1504 lep2_E = 22.7882 rand = 0.999742 run = 167138 weight = 3.54438e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.315365 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 934 negative weights. << hh tt >> << hh ii tt >> << hh tttttt >> << ppppp hhhhhh ii tt >> << pp pp hhh hh ii ----- tt >> << pp pp hh hh ii ----- tt >> << ppppp hh hh ii tt >> pp pp ////////////////////////////// pp \\\\\\\\\\\\\\\ Phi-T(R) NeuroBayes(R) Teacher Algorithms by Michael Feindt Implementation by Phi-T Project 2001-2003 Copyright Phi-T GmbH Version 20080312 Library compiled with: NB_MAXPATTERN= 1500000 NB_MAXNODE = 100 ----------------------------------- found 45785 samples to learn from preprocessing flags/parameters: global preprocessing flag: 812 individual preprocessing: now perform preprocessing *** called with option 12 *** This will do for you: *** input variable equalisation *** to Gaussian distribution with mean=0 and sigma=1 *** Then variables are decorrelated ************************************ Warning: found 934 negative weights. Signal fraction: 62.5425873 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.3054924 62.542366 64.3729248 66.321167 67.4435196 68.6109161 69.7036591 70.5127869 71.3243866 72.0357361 72.7977829 73.50811 74.0123901 74.425293 74.9768829 75.6065979 76.0664291 76.8072128 77.3842773 77.8565445 78.2892456 78.7065125 79.2813644 79.7527008 80.3160095 80.7872314 81.3536224 82.1654434 82.6129913 83.3813934 84.2695312 85.0913696 85.9249725 86.9269333 87.9850159 89.1004486 90.5108795 92.0473785 93.73349 95.4710541 96.7653351 98.1961517 99.3549042 101.179756 102.663834 103.877914 105.415421 107.060608 108.737114 110.294662 111.904106 113.352402 115.073479 116.607315 118.24556 119.644745 121.190536 122.514107 124.068581 125.606819 126.990128 128.402328 129.378174 130.774384 131.98407 133.111206 134.547241 135.991379 137.564117 139.215942 140.771637 142.350433 143.585739 145.327576 146.968201 148.460693 150.109146 152.016998 154.130188 156.532074 159.251099 161.796051 163.899017 166.437149 169.319031 172.031021 175.039154 178.521088 182.505951 186.151733 190.983612 195.256805 199.721527 205.559052 212.177673 220.944687 229.185349 243.019699 264.022064 299.441589 683.195984 ------------------------------ Transdef: Tab for variable 3 20.001255 20.3021431 20.5701084 20.7877464 21.0975151 21.3352089 21.5407314 21.7774582 21.9449921 22.1401672 22.3277626 22.5111618 22.7162762 22.8963623 23.0977211 23.2734585 23.4631233 23.6267376 23.7820244 23.9474716 24.1144905 24.307869 24.4922009 24.611578 24.7839527 25.0168591 25.1716537 25.3463745 25.5407753 25.7014351 25.8781586 26.0682068 26.2692223 26.4722404 26.6768875 26.8569183 27.0773468 27.2784653 27.5040932 27.7550087 27.9813747 28.171175 28.3588676 28.558609 28.8003922 29.0416451 29.2646179 29.4693451 29.720232 29.9652786 30.1957989 30.4557514 30.7019634 31.0332584 31.2896309 31.5449944 31.7814636 32.0847626 32.3286858 32.6418381 32.9321442 33.2138062 33.5148201 33.7827072 34.0679855 34.342865 34.6044731 34.923584 35.25457 35.577095 35.9029961 36.1931572 36.5945587 36.9627075 37.3818703 37.7541199 38.1097946 38.5035934 38.8451843 39.2696457 39.7591248 40.2361946 40.6979523 41.2285538 41.8379593 42.4361229 43.0860291 43.6731186 44.3550873 45.1344795 46.0722809 47.2056999 48.1449509 49.3971024 50.7058067 52.6042252 54.6259537 57.1820946 61.1205368 69.2261353 142.871475 ------------------------------ Transdef: Tab for variable 4 10.0008726 10.1059666 10.2346001 10.3190088 10.4106932 10.5185909 10.6808863 10.7828121 10.8880882 10.9996367 11.1145573 11.2518272 11.3540192 11.4594507 11.5902767 11.7333508 11.886323 12.0227375 12.1726542 12.3118591 12.4630613 12.5974083 12.6896057 12.8282356 12.9470673 13.0688429 13.2188044 13.3857412 13.5523262 13.6948566 13.8385334 13.9657869 14.1651516 14.2923908 14.4725571 14.6258402 14.8096733 14.9725113 15.1068964 15.2839909 15.4673252 15.6244354 15.8247776 16.0105247 16.233963 16.440361 16.6677227 16.8433266 16.9997635 17.2211609 17.3856392 17.6771965 17.8695068 18.0429611 18.2604218 18.4631386 18.6935806 18.9453659 19.1987247 19.4822006 19.7272453 19.9910259 20.2505302 20.4883347 20.7539978 21.0310898 21.2789841 21.5305786 21.8606586 22.1617355 22.4457626 22.7404957 23.0420609 23.3539467 23.5948238 23.913271 24.1854439 24.5229492 24.8820324 25.2971344 25.6774635 26.0184441 26.3862534 26.7830467 27.2555733 27.6163349 28.0647202 28.4908638 28.8872261 29.4315395 29.9096527 30.5380898 31.0612068 31.7189064 32.6190262 33.3278351 34.2792702 35.7512817 37.818634 41.3877144 66.4113846 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.98437119 3.28166795 3.5365665 3.79550886 3.99583817 4.10196114 4.2281971 4.34382915 4.43014717 4.52064037 4.61199713 4.72268486 4.80238914 4.8795948 4.95865917 5.02982235 5.10047054 5.16225243 5.21953773 5.28455925 5.32873964 5.38639545 5.43312216 5.47313404 5.52098322 5.57034016 5.61412048 5.64866447 5.69807911 5.75961781 5.79655647 5.83954525 5.88262606 5.92231989 5.96421862 6.01153851 6.0570488 6.10718632 6.14366102 6.18568039 6.22614384 6.27742767 6.30828667 6.34728718 6.38193893 6.42936802 6.46908855 6.50997591 6.55134773 6.59151077 6.6432991 6.69252253 6.73515511 6.7746048 6.82217979 6.85574007 6.90221548 6.9505291 7.00338268 7.04576159 7.09346962 7.13731861 7.18186617 7.24694443 7.30584049 7.34667778 7.41580963 7.45768547 7.52753973 7.60388327 7.6523838 7.72675037 7.77310228 7.83703136 7.90718365 7.97188139 8.03068924 8.10126495 8.173666 8.24414825 8.31352615 8.38598633 8.4487009 8.51875687 8.60307503 8.67666245 8.74798584 8.82882214 8.93905163 9.03712749 9.1540947 9.25879288 9.38184357 9.52814102 9.71565533 9.93844414 10.1855793 10.5289984 11.0832729 17.7251911 ------------------------------ Transdef: Tab for variable 6 25.000145 25.9423122 26.6552944 27.4742851 28.0729027 28.7837772 29.511158 30.0829048 30.6987534 31.2722301 31.7867165 32.2548447 32.8023758 33.1579819 33.6221886 34.0759735 34.4928589 34.791069 35.1644707 35.5806427 36.0379868 36.3880692 36.6674538 36.9843597 37.2626228 37.4890709 37.767868 38.1368256 38.46875 38.815506 39.1569977 39.4301605 39.7705383 40.1493683 40.5047417 40.829628 41.2036285 41.6732483 41.9898376 42.3521576 42.7758179 43.1944275 43.5527573 43.9779816 44.3393555 44.8580627 45.3713188 45.8914223 46.4218941 47.1734314 47.9240875 48.6233139 49.1803589 49.9624863 50.5431099 51.3423233 51.9755402 52.5936089 53.3548203 54.1200256 54.7333908 55.5074577 56.2802544 56.9593773 57.7225418 58.3535538 59.1803055 59.865696 60.6781158 61.4181557 62.0201149 62.7641144 63.6146774 64.5442123 65.3621597 66.0539856 66.8914795 67.589035 68.3705292 69.1877975 69.9745026 70.8521271 71.5611725 72.5020218 73.2986603 74.3060074 75.182724 76.1383591 77.3053894 78.6005554 79.9972687 81.6493683 83.1487732 85.2033844 87.4783707 90.42836 94.3775253 99.0300827 105.015038 115.633514 197.808899 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.6514549 33.5263329 34.2227821 34.8779564 35.3202744 35.7038193 36.0130615 36.378685 36.7635422 37.0656738 37.3588142 37.6026649 37.8656807 38.1569214 38.3930321 38.6733017 38.8905334 39.194519 39.4199219 39.6592636 39.9481583 40.2728081 40.5667419 40.7756882 41.0433998 41.3026428 41.6964989 41.9676056 42.2797089 42.6299133 43.143158 43.7161064 44.4828339 45.02845 45.556488 46.2842827 47.1102867 47.7917557 48.5658379 49.5388031 50.4562225 51.42799 52.3513222 53.2403183 54.1392326 55.1386833 55.8141937 56.6154518 57.4522133 58.2015953 58.8712158 59.7047768 60.4893875 61.1702232 62.1249237 62.990242 63.8869324 64.8490753 65.6508331 66.3425446 67.2087708 67.9589691 68.8027039 69.7844162 70.7457886 71.5225754 72.2586975 73.2342072 74.4718628 75.7578125 76.9260712 78.3056335 79.8791504 81.3120575 82.5967789 84.01651 85.388916 87.0165405 89.2194672 91.0408936 92.8309021 94.4788589 96.7487183 99.3257599 101.522827 104.257217 106.748802 109.663826 112.916023 116.892334 120.662415 125.225822 130.266205 136.052429 142.497772 150.674683 163.885376 182.517548 204.891464 453.463348 ------------------------------ Transdef: Tab for variable 8 1.50532949 26.227396 29.670723 31.0604744 31.8661575 32.6334915 33.2175331 33.7173004 34.2059708 34.6108551 34.9232635 35.1825485 35.4445801 35.7200394 36.0093842 36.32267 36.5623474 36.8209152 37.1273308 37.3287201 37.5265274 37.7324219 37.95121 38.1903687 38.3918381 38.6657562 38.9316025 39.181633 39.452446 39.7217331 39.9958115 40.2122345 40.4303322 40.6960068 40.9339752 41.2549286 41.5415382 41.8543549 42.1945114 42.610054 43.1226959 43.548996 44.0277481 44.5567856 44.9121552 45.4125519 45.9688606 46.4446564 46.9413261 47.6514549 48.3376579 49.0309753 49.5929947 50.2308578 50.9085541 51.5107651 52.0275192 52.6917419 53.3242188 54.0091133 54.6095352 55.2849197 55.9010162 56.4666023 57.0512314 57.6951447 58.3273735 58.8628578 59.3695374 60.0845795 60.7845612 61.4542809 62.2067795 62.9306068 63.638504 64.4671783 65.0139542 65.7325592 66.379715 67.1538086 67.9124146 68.6344757 69.6156158 70.3706665 71.2929688 72.0913849 73.0225372 74.0987396 75.2784424 76.4798279 77.9285583 79.7059479 81.3380127 83.5895081 86.1091156 90.0098572 92.9015503 97.8217773 106.585114 119.065956 286.523682 ------------------------------ Transdef: Tab for variable 9 55.3054924 62.5186996 63.9237747 65.7361603 66.9879303 67.7879791 68.9714966 69.9920273 70.5581207 71.3217773 71.8692932 72.6058044 73.1579895 73.6585236 74.0887604 74.5319366 75.0717468 75.6278687 76.0142136 76.5743256 77.1806259 77.5588684 78.0108261 78.3954926 78.7711563 79.3518753 79.7627563 80.2615662 80.6986389 81.1906128 81.6884003 82.3104248 82.7178802 83.3813934 84.013649 84.7695923 85.5206604 86.3364334 86.9281006 87.8883362 88.6904526 89.6295471 90.7719955 92.0939331 93.3958893 94.8990021 96.0227203 97.4943237 98.6908875 99.939209 101.302704 102.428764 103.495224 104.781181 106.176826 107.260941 108.515579 109.545006 110.980988 112.197151 113.352585 114.485397 115.562202 116.607315 117.7892 118.896759 119.956413 121.171844 122.241631 123.513138 124.699501 125.995132 126.946716 128.198486 129.236633 130.400757 131.350922 132.313141 133.306702 134.43074 135.413696 136.51535 137.824997 139.188904 140.163177 141.354004 142.551788 144.010895 145.416321 146.60321 147.639496 148.826584 150.180481 151.903168 153.741394 156.143982 159.354813 163.834625 171.700012 190.29718 359.385254 ------------------------------ Transdef: Tab for variable 10 0.0879002884 1.12086201 1.44873905 1.6156342 1.73878658 1.86765003 1.97578347 2.05916786 2.13049722 2.19440627 2.25396276 2.29645538 2.34045386 2.38890934 2.42751241 2.47208118 2.51463246 2.54248905 2.57021475 2.59779477 2.61922884 2.64717841 2.66789627 2.69037008 2.71081471 2.73221159 2.74855804 2.76608992 2.77912235 2.7941916 2.80810618 2.82199812 2.83270121 2.84678102 2.85893488 2.87077093 2.88159275 2.88913751 2.89936638 2.90966702 2.91676283 2.92444658 2.93062067 2.93739104 2.94541645 2.95112538 2.95638895 2.9622426 2.96854353 2.97431087 2.97915077 2.98323989 2.98801327 2.99258828 2.99707127 3.00283074 3.00738311 3.01143026 3.01642823 3.02177668 3.0251565 3.02893162 3.03239846 3.03550148 3.03995609 3.0428946 3.04646873 3.05052185 3.05393744 3.05769539 3.06083488 3.06489277 3.06816006 3.07175994 3.07463694 3.07719183 3.08058882 3.08366108 3.08607435 3.08844757 3.09126663 3.09347248 3.09598804 3.09857416 3.10109186 3.10414004 3.10662651 3.10925341 3.11216784 3.11456108 3.11668086 3.11904144 3.12222433 3.12478685 3.1270113 3.12936711 3.13166809 3.13389993 3.13705683 3.13914227 3.14158916 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00582552329 0.0117496867 0.0175473094 0.0230746865 0.0283881482 0.0360907838 0.0432443023 0.0519210324 0.0593522787 0.0669670254 0.0746314973 0.0817933157 0.0882759243 0.0953427702 0.105106354 0.11212635 0.118593961 0.124424338 0.134044915 0.142026305 0.149672747 0.158411264 0.164844453 0.173027515 0.180052876 0.185923517 0.191848218 0.198768914 0.204234242 0.208797336 0.21436429 0.220045567 0.224509716 0.229015827 0.233732581 0.23853758 0.243557096 0.247952223 0.253209114 0.259193361 0.264153361 0.269168913 0.275429964 0.281738609 0.288238287 0.292999506 0.297476381 0.302689761 0.308315516 0.312257171 0.317296565 0.322960079 0.328390181 0.334239483 0.34029758 0.345500946 0.351371586 0.358954787 0.36496675 0.371204287 0.376358271 0.381364554 0.387826622 0.395878911 0.401848435 0.40668869 0.413420081 0.419615984 0.427320361 0.433891296 0.439710528 0.447038531 0.452725232 0.459062159 0.467301428 0.47352019 0.480010331 0.486682296 0.494572163 0.500801146 0.508001208 0.516116619 0.525641322 0.537036598 0.547332168 0.558091164 0.568363905 0.579305291 0.590943575 0.604455113 0.6187886 0.636092842 0.654889286 0.67236197 0.696175992 0.717022955 0.744359732 0.789728522 0.847464025 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.20011349 0.210989982 0.222183317 0.23088865 0.238122404 0.244667619 0.252193004 0.260191083 0.266198695 0.27284646 0.278716832 0.285527349 0.291653454 0.298195422 0.304978013 0.311640739 0.317207515 0.323221147 0.32873261 0.33401373 0.33987841 0.345293581 0.350502104 0.356780052 0.361961275 0.366924047 0.372206092 0.378434956 0.384345233 0.390325725 0.395498484 0.400468081 0.405107349 0.409657657 0.413654983 0.417267919 0.420284331 0.424370587 0.428697288 0.432420433 0.437006027 0.441470116 0.446081042 0.450093895 0.454837859 0.459248841 0.46326679 0.46677494 0.471329242 0.475288361 0.479003429 0.482518554 0.486979514 0.490490079 0.494865537 0.49941957 0.503628492 0.507651329 0.512463212 0.516365469 0.521209598 0.525033951 0.530088305 0.535447478 0.539905429 0.545603037 0.549212515 0.554708123 0.559595108 0.565115333 0.569764733 0.575093508 0.580459237 0.586107373 0.591823518 0.597390831 0.603127956 0.6099509 0.616230488 0.624504745 0.632439435 0.63980943 0.64661777 0.653818488 0.661213517 0.669239998 0.67753756 0.688219905 0.697597325 0.70782733 0.721253753 0.733910918 0.74586153 0.759471416 0.773954988 0.793397307 0.814458072 0.834736645 0.866543651 0.91366744 1.14129901 ------------------------------ Transdef: Tab for variable 13 20.0361443 21.4644432 22.4166641 23.0389786 23.5131798 24.0780449 24.5494976 25.0668831 25.4595528 25.8938618 26.2182732 26.658886 27.1377029 27.5244598 28.0386581 28.3790112 28.7962303 29.1801891 29.4308739 29.816103 30.1227016 30.5609093 30.88554 31.3144016 31.6928177 32.0892677 32.4093628 32.8286476 33.1706619 33.5162354 33.8776207 34.1421127 34.5576324 34.8360748 35.1626968 35.5120621 35.8693199 36.2154465 36.5552139 36.9246292 37.2762527 37.5891953 37.9416885 38.2803345 38.6689186 38.9302826 39.2882881 39.6952438 40.1430855 40.5010948 40.9421539 41.3849411 41.8755951 42.2651176 42.7922363 43.1632385 43.5439453 44.0388107 44.5323792 45.0047493 45.5170059 46.0768585 46.547821 47.180748 47.6858978 48.2250252 48.7571716 49.2654877 49.8750992 50.5420341 51.2478409 51.9182281 52.571167 53.2851677 54.0479889 54.7487183 55.5216942 56.299881 57.1485023 58.2164154 59.4800873 60.437973 61.387413 62.2714729 63.4894409 64.8376617 66.2080688 67.5992126 69.1008224 70.5782166 72.6398849 74.586525 76.4848785 79.181839 81.9294205 85.16185 88.7070923 92.8744507 99.1245728 108.643814 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0302553 10.8061562 11.2363014 11.5472507 11.9060564 12.3396168 12.6683254 12.9663792 13.2634821 13.4710636 13.7246122 13.9608784 14.2219238 14.5362406 14.7327557 15.0259047 15.3169289 15.5759172 15.8369141 16.1939888 16.5091629 16.8093662 17.0654564 17.3088551 17.5576 17.8289146 18.1058044 18.3662491 18.6679058 18.9255981 19.1734695 19.4262981 19.7251472 20.0388336 20.4097977 20.7277336 21.0461941 21.3414021 21.5879841 21.8824196 22.214962 22.5207176 22.8206978 23.2237053 23.562336 23.8107033 24.0951176 24.4060936 24.7069283 25.0069008 25.3083153 25.6817818 25.9751854 26.3148727 26.6112404 26.9336624 27.2930374 27.6298485 27.8837662 28.2407074 28.5251427 28.8174896 29.1701775 29.4646416 29.752264 30.1219482 30.5344868 30.8842621 31.2337646 31.5880318 31.9721222 32.343544 32.7408218 33.0987091 33.5371017 33.920517 34.4008026 34.8181801 35.3178101 35.8692513 36.4929314 36.9090576 37.3299637 37.8680191 38.4672661 39.192688 39.8969574 40.7047539 41.4408798 42.5757675 43.7147522 45.1837997 46.6533318 48.0669212 50.1592789 51.9551163 54.6815758 57.4868393 61.6682854 69.2120132 124.81353 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 66.8 48.5 52.4 33.2 55.2 63.3 56.9 66.0 -26.4 -13.2 -24.5 4.5 12.4 2 66.8 100.0 63.6 58.3 36.1 74.2 94.1 74.8 91.9 -46.1 -21.7 -38.1 18.6 19.7 3 48.5 63.6 100.0 40.2 8.8 36.9 67.5 52.7 69.7 -15.5 -22.1 -41.3 52.6 12.2 4 52.4 58.3 40.2 100.0 19.9 41.7 58.4 51.9 65.5 -10.8 -24.7 -47.7 9.0 59.8 5 33.2 36.1 8.8 19.9 100.0 83.3 8.7 55.0 57.5 21.3 -8.8 -10.9 -9.3 1.4 6 55.2 74.2 36.9 41.7 83.3 100.0 53.3 78.0 84.1 -10.9 -16.0 -26.0 3.0 10.9 7 63.3 94.1 67.5 58.4 8.7 53.3 100.0 68.2 80.5 -53.2 -19.1 -36.6 24.8 22.8 8 56.9 74.8 52.7 51.9 55.0 78.0 68.2 100.0 82.1 -12.5 -20.5 -33.2 15.6 19.8 9 66.0 91.9 69.7 65.5 57.5 84.1 80.5 82.1 100.0 -22.5 -24.5 -43.9 23.2 25.5 10 -26.4 -46.1 -15.5 -10.8 21.3 -10.9 -53.2 -12.5 -22.5 100.0 3.7 5.3 -2.8 0.1 11 -13.2 -21.7 -22.1 -24.7 -8.8 -16.0 -19.1 -20.5 -24.5 3.7 100.0 55.4 2.8 -4.1 12 -24.5 -38.1 -41.3 -47.7 -10.9 -26.0 -36.6 -33.2 -43.9 5.3 55.4 100.0 -5.2 -12.6 13 4.5 18.6 52.6 9.0 -9.3 3.0 24.8 15.6 23.2 -2.8 2.8 -5.2 100.0 50.7 14 12.4 19.7 12.2 59.8 1.4 10.9 22.8 19.8 25.5 0.1 -4.1 -12.6 50.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 164.169434 TOTAL CORRELATION OF ALL VARIABLES 73.9570476 ROUND 1: MAX CORR ( 73.9501959) AFTER KILLING INPUT VARIABLE 6 CONTR 1.00668448 ROUND 2: MAX CORR ( 73.9373684) AFTER KILLING INPUT VARIABLE 11 CONTR 1.37732523 ROUND 3: MAX CORR ( 73.9253115) AFTER KILLING INPUT VARIABLE 8 CONTR 1.33520128 ROUND 4: MAX CORR ( 73.8017992) AFTER KILLING INPUT VARIABLE 2 CONTR 4.27154872 ROUND 5: MAX CORR ( 73.6500534) AFTER KILLING INPUT VARIABLE 13 CONTR 4.73024289 ROUND 6: MAX CORR ( 73.380184) AFTER KILLING INPUT VARIABLE 10 CONTR 6.29912305 ROUND 7: MAX CORR ( 72.7748029) AFTER KILLING INPUT VARIABLE 9 CONTR 9.40635282 ROUND 8: MAX CORR ( 72.2922194) AFTER KILLING INPUT VARIABLE 3 CONTR 8.36701526 ROUND 9: MAX CORR ( 71.7357153) AFTER KILLING INPUT VARIABLE 12 CONTR 8.95277315 ROUND 10: MAX CORR ( 70.5355544) AFTER KILLING INPUT VARIABLE 14 CONTR 13.0670735 ROUND 11: MAX CORR ( 69.0943546) AFTER KILLING INPUT VARIABLE 4 CONTR 14.1857182 ROUND 12: MAX CORR ( 63.2680028) AFTER KILLING INPUT VARIABLE 5 CONTR 27.7703017 LAST REMAINING VARIABLE: 7 total correlation to target: 73.9570476 % total significance: 64.7771383 sigma correlations of single variables to target: variable 2: 66.8287674 % , in sigma: 58.533655 variable 3: 48.5239479 % , in sigma: 42.5009189 variable 4: 52.374804 % , in sigma: 45.873788 variable 5: 33.1907646 % , in sigma: 29.0709651 variable 6: 55.2403343 % , in sigma: 48.3836347 variable 7: 63.2680028 % , in sigma: 55.4148699 variable 8: 56.9033365 % , in sigma: 49.840217 variable 9: 65.9749779 % , in sigma: 57.785842 variable 10: -26.3608629 % , in sigma: 23.0888241 variable 11: -13.1997345 % , in sigma: 11.5613191 variable 12: -24.4732064 % , in sigma: 21.4354727 variable 13: 4.5128123 % , in sigma: 3.95266004 variable 14: 12.3589977 % , in sigma: 10.8249387 variables sorted by significance: 1 most relevant variable 7 corr 63.2680016 , in sigma: 55.4148688 2 most relevant variable 5 corr 27.7703018 , in sigma: 24.3233166 3 most relevant variable 4 corr 14.1857185 , in sigma: 12.424918 4 most relevant variable 14 corr 13.0670738 , in sigma: 11.4451249 5 most relevant variable 12 corr 8.95277309 , in sigma: 7.84151125 6 most relevant variable 3 corr 8.36701488 , in sigma: 7.32846021 7 most relevant variable 9 corr 9.406353 , in sigma: 8.2387906 8 most relevant variable 10 corr 6.29912329 , in sigma: 5.5172454 9 most relevant variable 13 corr 4.73024273 , in sigma: 4.14310194 10 most relevant variable 2 corr 4.27154875 , in sigma: 3.74134329 11 most relevant variable 8 corr 1.33520126 , in sigma: 1.16946957 12 most relevant variable 11 corr 1.37732518 , in sigma: 1.20636486 13 most relevant variable 6 corr 1.00668442 , in sigma: 0.881729844 global correlations between input variables: variable 2: 99.1554778 % variable 3: 92.0005513 % variable 4: 90.8832953 % variable 5: 95.5170394 % variable 6: 96.2877802 % variable 7: 98.6455331 % variable 8: 88.6993662 % variable 9: 98.7853347 % variable 10: 71.0437378 % variable 11: 56.6303194 % variable 12: 69.6493881 % variable 13: 85.6622028 % variable 14: 87.3954638 % significance loss when removing single variables: variable 2: corr = 4.02179479 % , sigma = 3.52259001 variable 3: corr = 14.7353853 % , sigma = 12.9063575 variable 4: corr = 17.9797418 % , sigma = 15.7480086 variable 5: corr = 12.6866636 % , sigma = 11.1119331 variable 6: corr = 1.00668448 % , sigma = 0.881729891 variable 7: corr = 5.62108857 % , sigma = 4.92337165 variable 8: corr = 1.03948934 % , sigma = 0.910462859 variable 9: corr = 10.2197537 % , sigma = 8.95122801 variable 10: corr = 5.2444977 % , sigma = 4.59352508 variable 11: corr = 1.3338297 % , sigma = 1.16826825 variable 12: corr = 8.02364441 % , sigma = 7.02771055 variable 13: corr = 4.57451624 % , sigma = 4.00670498 variable 14: corr = 5.16949996 % , sigma = 4.52783642 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.2224627 sigma out 15 active outputs RANK 2 NODE 10 --> 11.0699997 sigma out 15 active outputs RANK 3 NODE 3 --> 9.40686035 sigma out 15 active outputs RANK 4 NODE 6 --> 9.10173893 sigma out 15 active outputs RANK 5 NODE 1 --> 8.52447033 sigma out 15 active outputs RANK 6 NODE 8 --> 8.427351 sigma out 15 active outputs RANK 7 NODE 7 --> 7.84518814 sigma out 15 active outputs RANK 8 NODE 9 --> 7.42511129 sigma out 15 active outputs RANK 9 NODE 5 --> 7.04551077 sigma out 15 active outputs RANK 10 NODE 4 --> 6.68309736 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 14.8855581 sigma in 10act. ( 15.5464277 sig out 1act.) RANK 2 NODE 13 --> 10.6278009 sigma in 10act. ( 11.2417126 sig out 1act.) RANK 3 NODE 3 --> 9.97799969 sigma in 10act. ( 10.0322657 sig out 1act.) RANK 4 NODE 9 --> 9.54406357 sigma in 10act. ( 9.52051067 sig out 1act.) RANK 5 NODE 14 --> 8.71336174 sigma in 10act. ( 8.91452599 sig out 1act.) RANK 6 NODE 2 --> 8.58971691 sigma in 10act. ( 8.89495754 sig out 1act.) RANK 7 NODE 5 --> 6.68870163 sigma in 10act. ( 6.16325474 sig out 1act.) RANK 8 NODE 6 --> 5.00139236 sigma in 10act. ( 4.98400211 sig out 1act.) RANK 9 NODE 4 --> 4.12257051 sigma in 10act. ( 4.00318909 sig out 1act.) RANK 10 NODE 15 --> 3.2935009 sigma in 10act. ( 3.71301699 sig out 1act.) RANK 11 NODE 7 --> 2.67861128 sigma in 10act. ( 2.55309176 sig out 1act.) RANK 12 NODE 10 --> 2.54461646 sigma in 10act. ( 1.54514241 sig out 1act.) RANK 13 NODE 11 --> 2.2642293 sigma in 10act. ( 1.63970256 sig out 1act.) RANK 14 NODE 8 --> 1.96138763 sigma in 10act. ( 1.61012769 sig out 1act.) RANK 15 NODE 1 --> 1.68182051 sigma in 10act. ( 1.06163323 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 15.5464277 sigma out 1act.( 14.8855581 sig in 10act.) RANK 2 NODE 13 --> 11.2417126 sigma out 1act.( 10.6278009 sig in 10act.) RANK 3 NODE 3 --> 10.0322657 sigma out 1act.( 9.97799969 sig in 10act.) RANK 4 NODE 9 --> 9.52051067 sigma out 1act.( 9.54406357 sig in 10act.) RANK 5 NODE 14 --> 8.91452599 sigma out 1act.( 8.71336174 sig in 10act.) RANK 6 NODE 2 --> 8.89495754 sigma out 1act.( 8.58971691 sig in 10act.) RANK 7 NODE 5 --> 6.16325474 sigma out 1act.( 6.68870163 sig in 10act.) RANK 8 NODE 6 --> 4.98400211 sigma out 1act.( 5.00139236 sig in 10act.) RANK 9 NODE 4 --> 4.00318909 sigma out 1act.( 4.12257051 sig in 10act.) RANK 10 NODE 15 --> 3.71301699 sigma out 1act.( 3.2935009 sig in 10act.) RANK 11 NODE 7 --> 2.55309176 sigma out 1act.( 2.67861128 sig in 10act.) RANK 12 NODE 11 --> 1.63970256 sigma out 1act.( 2.2642293 sig in 10act.) RANK 13 NODE 8 --> 1.61012769 sigma out 1act.( 1.96138763 sig in 10act.) RANK 14 NODE 10 --> 1.54514241 sigma out 1act.( 2.54461646 sig in 10act.) RANK 15 NODE 1 --> 1.06163323 sigma out 1act.( 1.68182051 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.73839 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 17.8685799 sigma out 15 active outputs RANK 2 NODE 10 --> 12.5565586 sigma out 15 active outputs RANK 3 NODE 3 --> 11.8545828 sigma out 15 active outputs RANK 4 NODE 6 --> 11.1927986 sigma out 15 active outputs RANK 5 NODE 9 --> 10.381608 sigma out 15 active outputs RANK 6 NODE 8 --> 9.98339939 sigma out 15 active outputs RANK 7 NODE 1 --> 9.22863293 sigma out 15 active outputs RANK 8 NODE 5 --> 8.53306389 sigma out 15 active outputs RANK 9 NODE 4 --> 8.33863449 sigma out 15 active outputs RANK 10 NODE 7 --> 7.9847784 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 14.0695744 sigma in 10act. ( 13.6946182 sig out 1act.) RANK 2 NODE 9 --> 11.7695198 sigma in 10act. ( 10.3940868 sig out 1act.) RANK 3 NODE 13 --> 11.6483431 sigma in 10act. ( 10.5044184 sig out 1act.) RANK 4 NODE 2 --> 11.4417953 sigma in 10act. ( 9.18758392 sig out 1act.) RANK 5 NODE 3 --> 11.4060659 sigma in 10act. ( 10.1061659 sig out 1act.) RANK 6 NODE 14 --> 10.2855482 sigma in 10act. ( 8.23498917 sig out 1act.) RANK 7 NODE 4 --> 7.94193077 sigma in 10act. ( 3.72703147 sig out 1act.) RANK 8 NODE 1 --> 7.55952358 sigma in 10act. ( 2.29521847 sig out 1act.) RANK 9 NODE 5 --> 7.45821524 sigma in 10act. ( 4.63265753 sig out 1act.) RANK 10 NODE 11 --> 7.0256052 sigma in 10act. ( 3.43144631 sig out 1act.) RANK 11 NODE 15 --> 6.77160978 sigma in 10act. ( 4.83104038 sig out 1act.) RANK 12 NODE 6 --> 6.36876249 sigma in 10act. ( 4.37587023 sig out 1act.) RANK 13 NODE 7 --> 5.74343443 sigma in 10act. ( 2.40537381 sig out 1act.) RANK 14 NODE 8 --> 5.70460749 sigma in 10act. ( 2.79785919 sig out 1act.) RANK 15 NODE 10 --> 5.03641605 sigma in 10act. ( 0.579554319 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 13.6946182 sigma out 1act.( 14.0695744 sig in 10act.) RANK 2 NODE 13 --> 10.5044184 sigma out 1act.( 11.6483431 sig in 10act.) RANK 3 NODE 9 --> 10.3940868 sigma out 1act.( 11.7695198 sig in 10act.) RANK 4 NODE 3 --> 10.1061659 sigma out 1act.( 11.4060659 sig in 10act.) RANK 5 NODE 2 --> 9.18758392 sigma out 1act.( 11.4417953 sig in 10act.) RANK 6 NODE 14 --> 8.23498917 sigma out 1act.( 10.2855482 sig in 10act.) RANK 7 NODE 15 --> 4.83104038 sigma out 1act.( 6.77160978 sig in 10act.) RANK 8 NODE 5 --> 4.63265753 sigma out 1act.( 7.45821524 sig in 10act.) RANK 9 NODE 6 --> 4.37587023 sigma out 1act.( 6.36876249 sig in 10act.) RANK 10 NODE 4 --> 3.72703147 sigma out 1act.( 7.94193077 sig in 10act.) RANK 11 NODE 11 --> 3.43144631 sigma out 1act.( 7.0256052 sig in 10act.) RANK 12 NODE 8 --> 2.79785919 sigma out 1act.( 5.70460749 sig in 10act.) RANK 13 NODE 7 --> 2.40537381 sigma out 1act.( 5.74343443 sig in 10act.) RANK 14 NODE 1 --> 2.29521847 sigma out 1act.( 7.55952358 sig in 10act.) RANK 15 NODE 10 --> 0.579554319 sigma out 1act.( 5.03641605 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.732935 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.466601312 *** contribution from regularisation: 0.0139615666 *** contribution from error: -0.480562866 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.529421508 *** contribution from regularisation: 0.00661850721 *** contribution from error: -0.536040008 *********************************************** -----------------> Test sample ENTER BFGS code START -12121.8062 0.0740863681 0.114401512 EXIT FROM BFGS code FG_START 0. 0.0740863681 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.549414098 *** contribution from regularisation: 0.00519399112 *** contribution from error: -0.554608107 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12577.1879 0.0740863681 29.1878624 EXIT FROM BFGS code FG_LNSRCH 0. 0.108526498 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.578620374 *** contribution from regularisation: 0.00758185377 *** contribution from error: -0.586202204 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13245.7775 0.108526498 24.5467854 EXIT FROM BFGS code NEW_X -13245.7775 0.108526498 24.5467854 ENTER BFGS code NEW_X -13245.7775 0.108526498 24.5467854 EXIT FROM BFGS code FG_LNSRCH 0. 0.144022256 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.581983745 *** contribution from regularisation: 0.00817773212 *** contribution from error: -0.590161502 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13322.7719 0.144022256 -1.32740235 EXIT FROM BFGS code NEW_X -13322.7719 0.144022256 -1.32740235 ENTER BFGS code NEW_X -13322.7719 0.144022256 -1.32740235 EXIT FROM BFGS code FG_LNSRCH 0. 0.146531388 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.583423197 *** contribution from regularisation: 0.00789100397 *** contribution from error: -0.591314197 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13355.7244 0.146531388 -4.92105532 EXIT FROM BFGS code NEW_X -13355.7244 0.146531388 -4.92105532 ENTER BFGS code NEW_X -13355.7244 0.146531388 -4.92105532 EXIT FROM BFGS code FG_LNSRCH 0. 0.138705239 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.584123969 *** contribution from regularisation: 0.00736472849 *** contribution from error: -0.591488719 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13371.7652 0.138705239 -8.40335751 EXIT FROM BFGS code NEW_X -13371.7652 0.138705239 -8.40335751 ENTER BFGS code NEW_X -13371.7652 0.138705239 -8.40335751 EXIT FROM BFGS code FG_LNSRCH 0. 0.117411159 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.584366977 *** contribution from regularisation: 0.00694565242 *** contribution from error: -0.591312647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13377.3289 0.117411159 -3.48402619 EXIT FROM BFGS code NEW_X -13377.3289 0.117411159 -3.48402619 ENTER BFGS code NEW_X -13377.3289 0.117411159 -3.48402619 EXIT FROM BFGS code FG_LNSRCH 0. -0.0732189193 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.560173512 *** contribution from regularisation: 0.00533499056 *** contribution from error: -0.565508485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12823.492 -0.0732189193 215.046494 EXIT FROM BFGS code FG_LNSRCH 0. 0.0879355818 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.8419113 sigma out 15 active outputs RANK 2 NODE 1 --> 11.0998583 sigma out 15 active outputs RANK 3 NODE 5 --> 8.8176918 sigma out 15 active outputs RANK 4 NODE 6 --> 8.77989101 sigma out 15 active outputs RANK 5 NODE 3 --> 8.65590763 sigma out 15 active outputs RANK 6 NODE 9 --> 7.02676964 sigma out 15 active outputs RANK 7 NODE 10 --> 6.89264488 sigma out 15 active outputs RANK 8 NODE 8 --> 5.83998299 sigma out 15 active outputs RANK 9 NODE 7 --> 5.38666391 sigma out 15 active outputs RANK 10 NODE 4 --> 4.89730406 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 12.2570286 sigma in 10act. ( 8.49195099 sig out 1act.) RANK 2 NODE 11 --> 12.1630936 sigma in 10act. ( 7.29984713 sig out 1act.) RANK 3 NODE 8 --> 11.0456047 sigma in 10act. ( 6.61786413 sig out 1act.) RANK 4 NODE 3 --> 10.5281591 sigma in 10act. ( 8.04018974 sig out 1act.) RANK 5 NODE 2 --> 10.1521845 sigma in 10act. ( 7.6113472 sig out 1act.) RANK 6 NODE 1 --> 9.94625854 sigma in 10act. ( 6.21405792 sig out 1act.) RANK 7 NODE 15 --> 8.74749184 sigma in 10act. ( 4.91998529 sig out 1act.) RANK 8 NODE 13 --> 7.06053019 sigma in 10act. ( 4.17380047 sig out 1act.) RANK 9 NODE 12 --> 5.81431103 sigma in 10act. ( 3.69491577 sig out 1act.) RANK 10 NODE 4 --> 5.44105291 sigma in 10act. ( 1.86548913 sig out 1act.) RANK 11 NODE 14 --> 5.43478775 sigma in 10act. ( 1.82760203 sig out 1act.) RANK 12 NODE 7 --> 4.31701994 sigma in 10act. ( 1.46350515 sig out 1act.) RANK 13 NODE 6 --> 4.28130579 sigma in 10act. ( 1.75143182 sig out 1act.) RANK 14 NODE 5 --> 3.78134561 sigma in 10act. ( 1.06810319 sig out 1act.) RANK 15 NODE 10 --> 3.22913766 sigma in 10act. ( 0.429019213 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 8.49195099 sigma out 1act.( 12.2570286 sig in 10act.) RANK 2 NODE 3 --> 8.04018974 sigma out 1act.( 10.5281591 sig in 10act.) RANK 3 NODE 2 --> 7.6113472 sigma out 1act.( 10.1521845 sig in 10act.) RANK 4 NODE 11 --> 7.29984713 sigma out 1act.( 12.1630936 sig in 10act.) RANK 5 NODE 8 --> 6.61786413 sigma out 1act.( 11.0456047 sig in 10act.) RANK 6 NODE 1 --> 6.21405792 sigma out 1act.( 9.94625854 sig in 10act.) RANK 7 NODE 15 --> 4.91998529 sigma out 1act.( 8.74749184 sig in 10act.) RANK 8 NODE 13 --> 4.17380047 sigma out 1act.( 7.06053019 sig in 10act.) RANK 9 NODE 12 --> 3.69491577 sigma out 1act.( 5.81431103 sig in 10act.) RANK 10 NODE 4 --> 1.86548913 sigma out 1act.( 5.44105291 sig in 10act.) RANK 11 NODE 14 --> 1.82760203 sigma out 1act.( 5.43478775 sig in 10act.) RANK 12 NODE 6 --> 1.75143182 sigma out 1act.( 4.28130579 sig in 10act.) RANK 13 NODE 7 --> 1.46350515 sigma out 1act.( 4.31701994 sig in 10act.) RANK 14 NODE 5 --> 1.06810319 sigma out 1act.( 3.78134561 sig in 10act.) RANK 15 NODE 10 --> 0.429019213 sigma out 1act.( 3.22913766 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.9755497 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.579419076 *** contribution from regularisation: 0.0114237014 *** contribution from error: -0.590842783 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13264.0612 0.0879355818 5.13658381 EXIT FROM BFGS code FG_LNSRCH 0. 0.116165467 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.583744168 *** contribution from regularisation: 0.00755553506 *** contribution from error: -0.591299713 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13363.0711 0.116165467 -3.04421234 EXIT FROM BFGS code FG_LNSRCH 0. 0.117391497 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.583606541 *** contribution from regularisation: 0.00770585658 *** contribution from error: -0.591312408 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13359.921 0.117391497 -3.34143806 EXIT FROM BFGS code FG_LNSRCH 0. 0.117411152 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.583649337 *** contribution from regularisation: 0.00766332028 *** contribution from error: -0.591312647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13360.9001 0.117411152 -3.34680843 EXIT FROM BFGS code FG_LNSRCH 0. 0.117411159 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.583609998 *** contribution from regularisation: 0.00770265516 *** contribution from error: -0.591312647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13359.9996 0.117411159 -3.30342746 EXIT FROM BFGS code FG_LNSRCH 0. 0.117411159 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.583806574 *** contribution from regularisation: 0.00750607997 *** contribution from error: -0.591312647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13364.4996 0.117411159 -3.35957694 EXIT FROM BFGS code FG_LNSRCH 0. 0.117411159 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.583632588 *** contribution from regularisation: 0.00768002402 *** contribution from error: -0.591312587 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13360.5177 0.117411159 -3.31036663 EXIT FROM BFGS code NEW_X -13360.5177 0.117411159 -3.31036663 ENTER BFGS code NEW_X -13360.5177 0.117411159 -3.31036663 EXIT FROM BFGS code CONVERGENC -13360.5177 0.117411159 -3.31036663 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 29.0041161 sigma out 15 active outputs RANK 2 NODE 1 --> 17.2153492 sigma out 15 active outputs RANK 3 NODE 5 --> 12.8104486 sigma out 15 active outputs RANK 4 NODE 6 --> 12.7797174 sigma out 15 active outputs RANK 5 NODE 3 --> 11.9018021 sigma out 15 active outputs RANK 6 NODE 9 --> 10.2616119 sigma out 15 active outputs RANK 7 NODE 10 --> 9.30713463 sigma out 15 active outputs RANK 8 NODE 7 --> 8.24728489 sigma out 15 active outputs RANK 9 NODE 8 --> 7.68098545 sigma out 15 active outputs RANK 10 NODE 4 --> 6.33208132 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 19.0324078 sigma in 10act. ( 13.1102648 sig out 1act.) RANK 2 NODE 9 --> 18.0816021 sigma in 10act. ( 14.1004667 sig out 1act.) RANK 3 NODE 8 --> 16.4392681 sigma in 10act. ( 10.9961748 sig out 1act.) RANK 4 NODE 1 --> 13.97684 sigma in 10act. ( 10.8183126 sig out 1act.) RANK 5 NODE 3 --> 13.6175165 sigma in 10act. ( 12.6564903 sig out 1act.) RANK 6 NODE 15 --> 13.0803728 sigma in 10act. ( 9.36394691 sig out 1act.) RANK 7 NODE 2 --> 12.4074144 sigma in 10act. ( 12.8637648 sig out 1act.) RANK 8 NODE 13 --> 10.0288658 sigma in 10act. ( 7.93909407 sig out 1act.) RANK 9 NODE 12 --> 8.20135212 sigma in 10act. ( 7.93888378 sig out 1act.) RANK 10 NODE 4 --> 5.9018755 sigma in 10act. ( 4.1151576 sig out 1act.) RANK 11 NODE 14 --> 5.89307308 sigma in 10act. ( 3.86893773 sig out 1act.) RANK 12 NODE 7 --> 4.64809752 sigma in 10act. ( 3.47837567 sig out 1act.) RANK 13 NODE 6 --> 4.58337688 sigma in 10act. ( 3.5591433 sig out 1act.) RANK 14 NODE 5 --> 3.45450115 sigma in 10act. ( 1.26970947 sig out 1act.) RANK 15 NODE 10 --> 2.91905093 sigma in 10act. ( 0.745271683 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 14.1004667 sigma out 1act.( 18.0816021 sig in 10act.) RANK 2 NODE 11 --> 13.1102648 sigma out 1act.( 19.0324078 sig in 10act.) RANK 3 NODE 2 --> 12.8637648 sigma out 1act.( 12.4074144 sig in 10act.) RANK 4 NODE 3 --> 12.6564903 sigma out 1act.( 13.6175165 sig in 10act.) RANK 5 NODE 8 --> 10.9961748 sigma out 1act.( 16.4392681 sig in 10act.) RANK 6 NODE 1 --> 10.8183126 sigma out 1act.( 13.97684 sig in 10act.) RANK 7 NODE 15 --> 9.36394691 sigma out 1act.( 13.0803728 sig in 10act.) RANK 8 NODE 13 --> 7.93909407 sigma out 1act.( 10.0288658 sig in 10act.) RANK 9 NODE 12 --> 7.93888378 sigma out 1act.( 8.20135212 sig in 10act.) RANK 10 NODE 4 --> 4.1151576 sigma out 1act.( 5.9018755 sig in 10act.) RANK 11 NODE 14 --> 3.86893773 sigma out 1act.( 5.89307308 sig in 10act.) RANK 12 NODE 6 --> 3.5591433 sigma out 1act.( 4.58337688 sig in 10act.) RANK 13 NODE 7 --> 3.47837567 sigma out 1act.( 4.64809752 sig in 10act.) RANK 14 NODE 5 --> 1.26970947 sigma out 1act.( 3.45450115 sig in 10act.) RANK 15 NODE 10 --> 0.745271683 sigma out 1act.( 2.91905093 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 34.7403641 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.583761036 *** contribution from regularisation: 0.00755162537 *** contribution from error: -0.591312647 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done